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- W2980531733 abstract "This paper puts forward one lightweight network for surface defect detection in terms of galvanized sheets based upon MobileNet v2. First of all, an extra input channel is designed on the grounds of the requirements and characteristics for the application scenario, and the weight of the spatial position information is aggrandized with the purpose of advancing capability of positioning. Afterwards, the visual positioning algorithm in regard to the defects is designed. In the following, on the basis of the CAM algorithm, the image identified as defective is further processed so as to facilitate the defect positioning. Last of all, the optimal network parameters as well as network structure in a real production environment are selected by multiple groups of comparative experiments." @default.
- W2980531733 created "2019-10-25" @default.
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- W2980531733 date "2019-07-01" @default.
- W2980531733 modified "2023-09-27" @default.
- W2980531733 title "Detection and Positioning of Surface Defects on Galvanized Sheet Based on Improved MobileNet v2" @default.
- W2980531733 cites W2295107390 @default.
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- W2980531733 doi "https://doi.org/10.23919/chicc.2019.8865922" @default.
- W2980531733 hasPublicationYear "2019" @default.
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